Faculty of Social Sciences
   
   
  

Teaching

Course structure

In order to graduate with the Quantitative Methods qualifier through one of our affiliated schools, you will need to take 20 credits of Q-Step modules in years one, two and three of your degree, as well as applying quantitative methods to their dissertation.

Year one

Quantitative Methods for Social Science 1

This module focuses on quantitative methods for the social sciences and in particular the acquisition of quantitative literacy.

The main topics of interest are:

  • the character and nature of quantitative data
  • their visualisation
  • their use in descriptive statistics
  • inference and estimation from random samples
  • hypothesis testing
  • working with statistical software

In-seminar activities allow you to work in small groups to explore first-hand concepts such as sampling, level of measurement and sampling variability.

Quantitative Methods for Social Science 2

Continuing from Quantitative Methods for Social Science 1, this module covers bivariate relationships and multiple regression, and their application in empirical social science research. Practical training such as use of these methods in empirical social science is key.

Year two

Intermediate Quantitative Methods for Social Science

Focused on multivariate regression analysis based on the concept of generalised linear models, this module covers linear, logistic and Poisson regression.

It emphasises the underlying similarity of these methods, the choice of the right method for specific problems, common aspects of model construction, the testing of model assumptions through influence and residual analyses, and the use of graphical and other methods to present results.

In addition to covering generalised linear models, you explore the use of multivariate regression analysis with large and complex data sets, including multi-level and longitudinal data. Information on best practices for data collection, data analysis and replication are integrated into lecture and seminar content.

Designing and Constructing Quantitative Social Research

Introducing you to the collection and analysis of social research data, this module has a particular focus on understanding the contexts in which different research strategies are appropriate. It will equip you with a critical understanding of the strengths and weaknesses of different research methodologies.

Workshop activities and assessment provide you with opportunities to put the principles into practice. You will gain insight and experience in the use of various research methods in order to strengthen your approach to your year-three dissertation.

Year three

Advanced Quantitative Methods for Social Science

Content to be confirmed.

q-step-teaching

Q-Step Affiliate

Expertise

Quantitative methods modules are taught by academics who are leading experts in their fields:

  • Dr Antony Chum, Assistant Professor in Quantitative Methods in Human Geography and Geographic Information Science
  • Dr Scott Moser, Assistant Professor in Quantitative Methods in Politics and International Relations
  • Dr Nora Wikoff, Assistant Professor in Quantitative Methods in Sociology and Social Policy

At Nottingham, the Q-Step initiative is managed by the above, as well as:

 

 

Faculty of Social Sciences

University of Nottingham
University Park
Nottingham
NG7 2RD

telephone: +44 (0)115 823 2356